{"product_id":"9780443141416","title":"Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing","description":"\u003cp\u003eSignal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular data analysis. Topics in this book include machine learning methods such as supervised learning, unsupervised learning, semi-supervised learning, and meta-learning combined with different signal processing techniques such as multivariate data analysis, time-frequency analysis, multiscale analysis, and feature extraction techniques for the detection of cardiovascular diseases, heart valve disorders, hypertension, and activity monitoring using ECG, PPG, and PCG signals.\u003c\/p\u003e\n\n\u003cp\u003eIn addition, this book also includes the applications of digital signal processing (time-frequency analysis, multiscale decomposition, feature extraction, non-linear analysis, and transform domain methods), machine learning and deep learning (convolutional neural network (CNN), recurrent neural network (RNN), transformer and attention-based models, etc.) techniques for the analysis of cardiac signals. The interpretable machine learning and deep learning models combined with signal processing for cardiovascular data analysis are also covered.\u003c\/p\u003e","brand":"Academic Press Inc","offers":[{"title":"Default Title","offer_id":46326204366927,"sku":"00000_00000_00000_00000","price":6300.0,"currency_code":"TWD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0672\/9174\/2287\/files\/9780443141416-1.jpg?v=1785579023","url":"https:\/\/kinokuniya.com.tw\/ja\/products\/9780443141416","provider":"Books Kinokuniya Taiwan","version":"1.0","type":"link"}